<div dir="ltr"><div class="gmail_quote"><div><div style="font-family:times new roman,new york,times,serif;font-size:16px"><div dir="ltr"><div><p>Dear all,</p>
<p><span> </span></p>
<p>We are pleased to announce that our annual SPM course for
MEG/EEG will take place this year from <u>Monday 11 May - Wednesday 13 May
2020.</u></p>
<p><span> </span></p>
<p>Hosted by University College London, the course will be held
at Queen Square (UK).</p>
<p><span> </span></p>
<p>The course will present instruction on the analysis of MEG
and EEG data. The first two days will combine theoretical presentations with
practical demonstrations of the different data analysis methods implemented in
SPM. On the last day participants will have the opportunity to work on SPM
tutorial data sets under the supervision of the course faculty. We also invite
students to bring their own data for analysis.</p>
<p><span> </span></p>
<p>The course is suitable for both beginners and more advanced
users. The topics that will be covered range from pre-processing and
statistical analysis to source localization and dynamic causal modelling. The
program is listed below. Please note that, <u>this year we are planning to also
discuss the analysis of data from Optically Pumped Magnetometers (OPM) MEG.</u></p>
<p><span> </span></p>
<div>Registration is now open. For full details see:</div><div><br></div><div dir="ltr"><span><a href="https://onlinestore.ucl.ac.uk/conferences-and-events/faculty-of-brain-sciences-c07/ucl-institute-of-neurology-d07/d07-statistical-parametric-mapping-for-megeeg-2020" rel="nofollow" target="_blank">https://onlinestore.ucl.ac.uk/conferences-and-events/faculty-of-brain-sciences-c07/ucl-institute-of-neurology-d07/d07-statistical-parametric-mapping-for-megeeg-2020</a></span><div><br></div><div>where you can also register.<br></div></div>
<p><span> </span></p>
<div>Available places are limited so please register as early as
possible if you would like to attend! For any administrative questions, please
contact Ms Kamlyn Ramikssoon (<a href="mailto:k.ramkissoon@ucl.ac.uk" target="_blank">k.ramkissoon@ucl.ac.uk</a>) . </div><div><br></div>
<p>Monday May 11th (12 Queen square, 4th floor)</p>
<p><span> </span></p>
<p>9.00 - 9.30<span> </span>Registration</p>
<p>9.30 - 9.45<span> </span>SPM
introduction and resources</p>
<p>9.45 - 10.30<span> </span>What are
we measuring with M/EEG?</p>
<p>10.30- 11.15<span> </span>Data
pre-processing</p>
<p><span> </span></p>
<p>Coffee</p>
<p><span> </span></p>
<p>11.45 - 12.30<span> </span>Data
pre-processing – demo</p>
<p>12.30 - 13.15<span> </span>General
linear model and classical inference</p>
<p><span> </span></p>
<p>Lunch</p>
<p><span> </span></p>
<p>14.15 - 15.00<span>
</span>Multiple comparisons problem and solutions</p>
<p>15.00 - 15.45<span>
</span>Bayesian inference</p>
<p><span> </span></p>
<p>Coffee</p>
<p><span> </span></p>
<p>16.15 - 17.45<span> </span>Group
M/EEG dataset analysis – demo</p>
<p>17.45 - 18.30<span>
</span>Analysis of Optically Pumped Magnetometers (OPM) data in SPM</p>
<p><span> </span></p>
<p>Tuesday May 12th (33 Queen square, basement)</p>
<p><span> </span></p>
<p>9.30 - 10.15<span> </span>M/EEG
source analysis</p>
<p>10.15 - 11.15 M/EEG source analysis – demo</p>
<p><span> </span></p>
<p>Coffee</p>
<p><span> </span></p>
<p>11.45 - 12.30<span> </span>The
principles of dynamic causal modelling</p>
<p>12.30 - 13.15<span> </span>DCM for
evoked responses</p>
<p><span> </span></p>
<p>Lunch</p>
<p><span> </span></p>
<p>14.15 - 15.00<span> </span>DCM for
steady state responses</p>
<p>15.00 - 15.45<span> </span>DCM -
demo</p>
<p><span> </span></p>
<p>Coffee</p>
<p><span> </span></p>
<p>16.15 - 17.00<span>
</span>Bayesian model selection and averaging</p>
<p>17.00 - 18.30<span> </span>Clinic
- questions & answers</p>
<p><span> </span></p>
<p>19.00 - ... Social Event</p>
<p><span> </span></p>
<p>Wednesday May 13th</p>
<p><span> </span></p>
<p>9.30 - 17.00</p>
<p><span> </span></p>
<div>Practical hands-on session will take place in UCL computer
classrooms. Participants can either work on SPM tutorial datasets or on their
own data with the help of the faculty. There will also be an opportunity to ask
questions in small tutorial groups for further discussions on the topics of the
lectures.</div><div><br></div><div dir="ltr"><br></div>
<p>With kind regards,</p>
<p>Amir</p>
<div style="background:white"><b><span style="font-size:10.0pt;font-family:"Calibri",sans-serif;color:#767171;letter-spacing:.5pt">Amirhossein Jafarian, </span></b><b><span style="font-size:10.0pt;font-family:"Calibri",sans-serif;color:#767171;letter-spacing:.5pt">Ph.D.</span></b><b><span style="font-size:10.0pt;font-family:"Calibri",sans-serif;color:#767171;letter-spacing:.5pt">, </span></b></div><div style="background:white"><b><span style="font-size:10.0pt;font-family:"Calibri",sans-serif;color:#767171;letter-spacing:.5pt">Research Associate</span></b></div><div style="background:white"><b><span style="font-size:10.0pt;font-family:"Calibri",sans-serif;color:#767171;letter-spacing:.5pt">Methods Group</span></b></div><div style="background:white"><b><span style="font-size:10.0pt;font-family:"Calibri",sans-serif;color:#767171;letter-spacing:.5pt">Wellcome Centre for Human Neuroimaging</span></b></div><div style="background:white"><b><span style="font-size:10.0pt;font-family:"Calibri",sans-serif;color:#767171;letter-spacing:.5pt">UCL 12 Queen Square Institute of Neurology</span></b></div><div style="background:white"><b><span style="font-size:10.0pt;font-family:"Calibri",sans-serif;color:#767171;letter-spacing:.5pt">University College London</span></b></div><div style="background:white"><b><span style="font-size:10.0pt;font-family:"Calibri",sans-serif;color:#767171;letter-spacing:.5pt">LONDON WC1N 3AR</span></b></div><div style="background:white"><b><span style="font-size:10.0pt;font-family:"Calibri",sans-serif;color:#767171;letter-spacing:.5pt">United Kingdom</span></b></div><div style="background:white"><b><span style="font-size:10.0pt;font-family:"Calibri",sans-serif;color:#767171;letter-spacing:.5pt">Tel: +44 (0)20 3448 4367 </span></b></div><div style="background:white"><b><span style="font-size:10.0pt;font-family:"Calibri",sans-serif;color:#767171;letter-spacing:.5pt">Email: <a href="mailto:a.jafarian@ucl.ac.uk" rel="nofollow" target="_blank"><span style="color:#767171">a.jafarian@ucl.ac.uk</span></a></span></b></div></div><br></div></div></div></div></div>